15 Nov 2019
15 Nov 2019
EXAMINING MULTI-LEVEL POVERTY-CAUSING FACTORS OF FARM HOUSEHOLD
Y. W. Jiang1,2,3, Y. H. Wang1,2,3, and W. P. Qi1,2,3
Y. W. Jiang et al.
Y. W. Jiang1,2,3, Y. H. Wang1,2,3, and W. P. Qi1,2,3
- 1Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
- 2Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China
- 3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China
- 1Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
- 2Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China
- 3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China
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Keywords: Poverty-causing factors, Multi-level linear model (MLM), Geo-detector
In view of the current research on the factors of poverty at home and abroad, most of them have less background effects on scale and the mechanism. This study uses a multi-level linear regression model and a geographic detector to jointly detect the poverty influencing factors in the study area. This study mainly draws the following three conclusions: (1) There are background effects on the scale of the poverty-stricken factors in the study area, and the background effects have a great impact. (2) At different scales there are significant poverty-stricken factors. (3) Different research methods lead to differences in research results.
